Julie Young is an experienced financial writer and editor. She specializes in financial analysis in capital planning and investment management. Dr. JeFreda R. Brown is a financial consultant, ...

Selecting a random sample from a set is simple. But what about selecting a fair random sample from a set of unknown or indeterminate size? That’s where reservoir sampling comes in, and [Sam Rose] has ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Why is data sampling important? Data sampling is a widely used statistical approach that can be applied to a range of use cases, such as analyzing market trends, web traffic or political polls. For ...

A random number generator (or equivalent process) is used to select all sampling locations. Can be used for any objective: estimating/testing means, comparing means, proportions, etc., of two or more ...

The bootstrap can be used to assess uncertainty of sample estimates. We have previously discussed the importance of estimating uncertainty in our measurements and incorporating it into data analysis 1 ...

Sampling is a technique in which samples are drawn at random (without any favor or bias). For this, suitable measures or procedures may be laid down and adopted according to the nature and ...

A recent article explained the role of Gas Chromatography-Mass Spectrometry (GC/MS) in the analytics laboratory. The current article focuses on reviewing the technology used for preparing volatile ...